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are interested in developing advanced correlative microscopy techniques for characterizing nanoparticles in cells and tissue. Combining multiple microscopy and chemical characterization techniques, this work
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are interested in using Machine Learning and AI techniques to enable autonomous, AI-Driven, experimental research. There are many aspects of this nascent field that require further development. This includes
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development of sustainable aquaculture in the US. The research will be accomplished through the complementary capabilities or both organizations including advanced analytical capabilities at NIST (e.g., LC-HRMS
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development of RF MEMS/NEMS resonators. Several resonator geometries are being developed that combine low-loss mechanical design, unique materials, and electrostatic, electrothermal, and piezoelectric actuation
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accurate measurements during emergencies, such as those encountered in pre- or post-detonation scenarios. The nuclear forensics program at NIST focuses largely on analytical method development, new and
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evolution. The Group aims to advance fundamental understanding, improve predictability for design, ensure reproducibility and comparability, and facilitate scalability for real-world applications
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that cryogenic-compatible memory elements can be developed that can be integrated with the superconducting logic circuits. The goal of this project is to develop nanoscale ferromagnetic devices that can be
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plasticity, where genetic drift, transgene instability, or chromosomal rearrangements can alter product quality or yield over time. Understanding this genomic evolution is essential for assuring
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Curt Andrew Richter curt.richter@nist.gov 301.975.2082 Description Our research team is performing foundational experimental research to develop an improved understanding of the physics of the quantum
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) are beginning to broadly impact physics: from probing the evolution of galaxies to calculating quantum wave functions to discovering new states of matter. This postdoctoral research opportunity centers